Security update for agama-web-ui (moderate)

openSUSE security update: security update for agama-web-ui ------------------------------------------------------------- Announcement ID: openSUSE-SU-2026:20919-1 Rating: moderate References: bsc1246678 bsc1264160 bsc1264802 bsc1266256 Cross-References: CVE-2025-7339 CVE-2026-42041 CVE-2026-42264...

MAL-2026-5336 Malicious code in solana-cli-py (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 80ee640ddeeacc31a125ec0fcc11dcb5f9a23e18f5ed003ce2dfcb1de8bbe1dd On import solanaclipy, the package's top-level init.py unconditionally invokes report, which harvests standard developer-side secret material and POS...

CVE-2026-39908

OpenBullet2 through version 0.3.2 on Windows contains a credential disclosure vulnerability that allows remote attackers to capture the NTLMv2 hash of the process user by configuring a job proxy source with a UNC path pointing to an attacker-controlled server. When the job starts, the application...

CVE-2026-39908

OpenBullet2 ≤ v0.3.2 on Windows suffers a credential disclosure via a UNC-path proxy source. When a job loads proxies from an attacker-controlled UNC path, an SMB authentication occurs and reveals the NTLMv2 hash of the process user, enabling relay or offline cracking. Affected component is the p...

CVE-2026-39908 OpenBullet2 0.3.2 NTLMv2 Hash Disclosure via UNC Path Proxy Source

OpenBullet2 through version 0.3.2 on Windows contains a credential disclosure vulnerability that allows remote attackers to capture the NTLMv2 hash of the process user by configuring a job proxy source with a UNC path pointing to an attacker-controlled server. When the job starts, the application...

CVE-2026-39908

OpenBullet2 through version 0.3.2 on Windows contains a credential disclosure vulnerability that allows remote attackers to capture the NTLMv2 hash of the process user by configuring a job proxy source with a UNC path pointing to an attacker-controlled server. When the job starts, the application...

CVE-2026-46440

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, the checkBasicAuth endpoint validates credentials in plaintext without rate limiting and with direct comparison. This issue has been patched in version 3.1.2...

CVE-2026-46443

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is...

CVE-2020-37248

OfflineIMAP before 8.0.3 trusts the server with their STARTTLS capability prior to authentication, which allows STRIPTLS/man-in-the-middle attacks, taking over the connection and extracting account credentials in cleartext...

CVE-2020-37248

OfflineIMAP before 8.0.3 trusts the server with their STARTTLS capability prior to authentication, which allows STRIPTLS/man-in-the-middle attacks, taking over the connection and extracting account credentials in cleartext...

AI brands as bait: How threat actors are using the AI hype in social engineering

In this article 1. ChatGPT-themed lure leads to phishing kit collecting credit card data 2. Claude-themed phishing campaign collected credentials and access tokens 3. "Awesome AI Windows Plugin” malvertising deploys Vidar stealer 4. Fake DeepSeek V4 installers on GitHub delivered Vidar Stealer 5...

AI brands as bait: How threat actors are using the AI hype in social engineering

In this article 1. ChatGPT-themed lure leads to phishing kit collecting credit card data 2. Claude-themed phishing campaign collected credentials and access tokens 3. "Awesome AI Windows Plugin” malvertising deploys Vidar stealer 4. Fake DeepSeek V4 installers on GitHub delivered Vidar Stealer 5...

EUVD-2026-35111

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is...

CVE-2026-46443 Flowise: Credential Data Leak

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is...

CVE-2026-46443

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is...

CVE-2026-46443 Flowise: Credential Data Leak

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when credentials are fetched with a credentialName filter parameter, the encryptedData field is not stripped from the response. The code properly omits encryptedData when no filter is...

CVE-2020-37248

OfflineIMAP prior to version 8.0.3 is affected by a STARTTLS trust issue: the client trusts the server’s STARTTLS capability before authentication, enabling man-in-the-middle attacks that can exfiltrate credentials in cleartext. This vulnerability can enable an attacker to take over the connectio...

CVE-2020-37248

OfflineIMAP before 8.0.3 trusts the server with their STARTTLS capability prior to authentication, which allows STRIPTLS/man-in-the-middle attacks, taking over the connection and extracting account credentials in cleartext...

Malicious code in tiktoken-mcp (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ac746100211f13951c190e98140c6948be51d7be9257b2b26bcc9baef19be29f tiktoken-mcp impersonates the OpenAI-published tiktoken package: its METADATA copies the upstream Name/Summary, Author 'Shantanu Jain', Author-email...

MAL-2026-5302 Malicious code in nhmpy (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 34db1950ee9bdf9c75ae9bb2436085bbb443107321d8d7056a0bf3b8fae36978 The package is published as 'nhmpy' on PyPI but its contents are a verbatim copy of NumPy 2.4.6: the same source tree, docstrings, and license files...